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  5. Traffic Loading 'Fingerprinting' of Bridges of Assessment Purposes
 
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Traffic Loading 'Fingerprinting' of Bridges of Assessment Purposes

Author(s)
O'Brien, Eugene J.  
Sloan, T. D.  
Butler, K. M.  
Kirkpatrick, J.  
Uri
http://hdl.handle.net/10197/4056
Date Issued
1995
Date Available
2013-01-16T17:35:48Z
Abstract
The paper describes a field trial of the use of a simple statistical ‘extrapolation' technique for the determination of design load effects in existing bridges. Deflections were measured directly using lasers in the Foyle Bridge, and data were recorded for 155 daily 48-min samples. As only traffic load effects were of interest, wind-induced defections were removed by Fast Fourier transform analysis and temperature-induced deflections were removed through identification of traffic-free periods. A simple linear regression analysis using probability paper has been employed to determine the parameters which characterise the statistical distribution. The cumulative distribution function was then used to estimate the level of deflection with a 1000-year return period. Empirically derived formulas have been utilised to determine the variability in the 1000-year estimates and to calculate a design deflection which allows for this.
Type of Material
Journal Article
Publisher
Institution of Structural Engineers
Journal
The Structural Engineer
Volume
73
Issue
19
Start Page
320
End Page
324
Copyright (Published Version)
1995, The Institution of Structural Engineers
Subjects

Bridge assessment

Bridge loads

Web versions
http://www.istructe.org/journal/volumes/volume-73-%28published-in-1995%29/issues/issue-19/articles/traffic-load-fingerprinting-of-bridges-for-assessm
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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j6.pdf

Size

8.56 MB

Format

Adobe PDF

Checksum (MD5)

435c9e0a8c8fd48abab37f44abe11262

Owning collection
Civil Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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